iamdata
IAM data for AWS actions, resources, and conditions based on IAM policy documents. Checked for updates daily.
Decision gist · record as of 2026-08-14
Yes. The package has zero dependencies, low install friction, active maintenance with daily data updates, and a permissive MIT license. It fills a concrete need for offline IAM metadata lookup without external API calls. Use it if you're building IAM tooling, policy validators, or permission auditors.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Active maintenance with daily data updates and a recent commit history.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), allowing use in proprietary and open-source projects without significant restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 9 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 165,772 downloads/mo, #10,516 on PyPI
Alternatives
Verify before relying
pip install iamdata
from iamdata import IAMData
iam_data = IAMData()
for service_key in iam_data.services.get_service_keys():
actions = iam_data.actions.get_actions_for_service(service_key)
print(f"{service_key}: {len(actions)} actions")- Whether the daily update mechanism is automatic or requires manual intervention to refresh the package.
- Performance characteristics when iterating over all services, actions, and resources in a single session.
What it is and what it does
iamdata is a Python library that embeds AWS IAM service metadata—including actions, resources, and condition keys—directly in the package. It lets you query this data programmatically without making external API calls. The package is updated daily by checking against AWS IAM documentation, so the data stays current as AWS services and permissions evolve.
You use it by instantiating an IAMData object and then calling methods on its services, actions, resources, and conditions attributes to look up details: service names from keys, all actions for a service, action metadata like resource types and condition keys, resource type definitions, and condition key specifications. It's designed for developers building IAM policy tools, permission auditors, or access-control frameworks who need reliable, offline access to the AWS permission model.
Use it for
- Build an IAM policy validator that checks whether actions and resources in a policy document actually exist in AWS.
- Generate documentation or reference tables of all AWS IAM actions, resources, and conditions for a given service.
- Implement an access-control policy builder that autocompletes or validates IAM action and resource names.
- Audit existing IAM policies to map actions to their required resource types and condition keys.
- Create a permission matrix or comparison tool showing which actions are available across different AWS services.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package has zero dependencies, low install friction, active maintenance with daily data updates, and a permissive MIT license. It fills a concrete need for offline IAM metadata lookup without external API calls. Use it if you're building IAM tooling, policy validators, or permission auditors.
Install
iamdata on PyPI
Before you install
Low install friction with no runtime dependencies. Active maintenance with daily data updates and a recent commit history.
License in practice
Licensed under MIT (permissive), allowing use in proprietary and open-source projects without significant restrictions.
Quickstart
pip install iamdata
from iamdata import IAMData
iam_data = IAMData()
for service_key in iam_data.services.get_service_keys():
actions = iam_data.actions.get_actions_for_service(service_key)
print(f"{service_key}: {len(actions)} actions")Verify before relying
- Whether the daily update mechanism is automatic or requires manual intervention to refresh the package.
- Performance characteristics when iterating over all services, actions, and resources in a single session.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 165,772 / month, #10,516 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: iamdata-0.1.202608141-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “AWS IAM data lookup”
- iamdataProvides programmatic access to AWS IAM service definitions—actions,…
- aws-cdk.region-infoProvides a queryable database of AWS region-specific information such…
- cloudsplainingCloudsplaining scans AWS IAM policies to identify violations of least…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also policyuniverse · py-iam-expand · aws-cdk.aws-iam · cloudsplaining · cdk-iam-floyd · awacs · policy-sentry · drf-access-policy · ec2-metadata · google-cloud-iam